Journal of Asian Scientific Research

Educational support system for Aeta indigenous students in Zambales, Philippines: A descriptive study

Rene Biaz Regaspi — 2025-12-19

The support system is essential to Aeta’s educational success. Self-determination is a very important factor in attaining success in finishing tertiary education. Nevertheless, this dream will not become a reality without the support of the family, peers, school, and community. The study aimed to examine the importance of the support system in enabling Aeta individuals to pursue education as a pathway to success. It discusses the support received from school, family, peers, and the Indigenous community. This quantitative descriptive research investigated the extent of support from these groups among 143 Aeta from different ethnolinguistic groups in Zambales. The researchers employed a researcher-made questionnaire to assess the level of support, utilizing a 5-point Likert scale to interpret the data. The collected data were analyzed using frequency, percentage, and weighted mean to interpret respondents’ perceptions of the support system's role. The analysis revealed a moderate level of support from the school. The findings also demonstrated support from peers and family. However, support from the Indigenous community was minimal, indicating limited involvement in Aeta educational initiatives. The results also highlight the insufficient integration of Indigenous cultural values and practices into the academic framework. Therefore, improving the level of support within the system could foster a sense of belonging and empowerment. This, in turn, would help transform the Aeta’s insights on education as a pathway to success into a tangible reality.

Tourism-led food inflation: Exploring economic drivers and long-term impacts in Turkey

Hasan Gul — 2026-01-13

Food is not only a basic need but also a vital component of the tourist experience and a strategic element in enhancing destination attractiveness. The literature suggests that about one-third of tourist expenditures are on food. The issue of tourism-induced food inflation is timely and important, especially considering the post-pandemic inflationary environment and the recovery in global tourism. Turkey is an appropriate case study due to its high dependence on tourism and significant food inflation. This paper aims to empirically examine tourism-driven food inflation in Turkey over a lengthy period, 2005 (1) – 2024 (12). In this study, the Gregory and Hansen cointegration test, which investigates the cointegration relationship under a structural break, is used, and the long-run relationship between the series is estimated using FMOLS and CCR methods. The results confirm a long-run relationship between tourism arrivals and food price inflation. Moreover, oil prices, water, electricity, and natural gas prices increase, and income is found to have significant effects on tourism-food prices. Although tourism arrivals caused an increase in food prices, this effect is not as high as expected because food prices exhibit higher volatility due to more inelasticity in their supply and demand relative to other consumer goods.

Family problems and their reflections on child personality and psychological development: A field study in Mosul

Reem Abdulwahhab Ismail — 2026-01-14

Family life plays a central role in shaping how children grow, especially in fragile, post-conflict settings where stressors are numerous and deeply intertwined. In this study, we explored the experiences of 450 children between 6 and 16 years old across five districts of Mosul, Iraq, a city still recovering from years of conflict. Using the Child Behavior Checklist (CBCL), the Family Assessment Device (FAD), and structured interviews, we sought to capture both the measurable and lived dimensions of children’s psychological wellbeing. The results were sobering: nearly half of the children showed significant behavioral or emotional difficulties. Specifically, 42% struggled with behavioral challenges, 38% with internalizing symptoms such as anxiety and withdrawal, and 35% with externalizing behaviors like aggression. Family dysfunction was a powerful driver of these outcomes, with parental conflict affecting 59% of families, exposure to domestic violence 32%, and child abuse 17%. Statistical analyses confirmed strong links between these stressors and children’s psychological difficulties. Importantly, children facing four or more family-related problems were several times more likely to develop serious difficulties than those in more stable homes. These findings underscore the urgent need for holistic, culturally sensitive interventions that strengthen family life and community support as foundations for recovery.

Mapping the future of cyberbullying research: Interdisciplinary connections, global perspectives and emerging issues

Cristina Sanchez Romero — 2026-01-16

This study explores global and interdisciplinary trends in cyberbullying research, with a focus on how empathy and solidarity are addressed as key components in prevention and intervention strategies. Through a systematic review and bibliometric mapping, the study examines the evolution of research on cyberbullying and its links with empathy, compassion, commiseration, and solidarity. The study uses 1,096 records from the WOS database, analyzed with VOSviewer to map term co-occurrence, co-authorship, thematic clusters, and co-citation links. This bibliometric approach uncovers the field’s structure and identifies key authors, institutions, and emerging trends. The analysis focuses on adolescence, emphasizing school, family, and digital environments as key arenas of interaction and risk. Findings highlight a strong relationship between low levels of empathy and higher rates of moral disengagement among adolescents involved in bullying and cyberbullying behaviors. Moreover, empathy appears as a critical protective factor that can be cultivated through comprehensive, interdisciplinary interventions. In conclusion, the study underscores the importance of fostering empathy and solidarity as fundamental pillars in the fight against cyberbullying. By mapping the scientific landscape, it identifies influential contributions and collaboration networks while suggesting future directions for interdisciplinary research that promote socially responsible and ethically grounded responses to digital peer aggression.

Geospatial modeling-based assessment of landslide hazards along the Medan–Berastagi Route, North Sumatra

Ika Puji Hastuty — 2026-02-02

Landslides are a recurrent problem in hilly regions, particularly during the rainy season, causing fatalities, infrastructure damage, and socio-economic disruption. Landslide hazard mapping is therefore essential for identifying vulnerable areas and developing effective mitigation strategies. This study aimed to create a landslide hazard map for the Medan–Berastagi road using the Analytic Hierarchy Process (AHP) integrated with Geographic Information Systems (GIS). Eleven parameters were selected, including slope angle, slope height, slope aspect, rainfall, drainage, lithology, soil type, land use, distance to faults, seismic activity, and proximity to rivers. Data were compiled through field surveys, GPS verification, and secondary sources, then processed with QGIS. Hazard levels were classified into five categories: very low, low, moderate, high, and very high. Results show that 44% of the road segments (19 km) fall under moderate hazard, 46% (29 km) under high hazard, and 9% (3 km) under very high hazard. Field validation using 71 landslide inventory points yielded an accuracy of 97.6%. The most influential factors were slope angle, slope height, rainfall intensity, and land use. Prolonged heavy rainfall on steep slopes underlain by fractured volcanic rocks contributed significantly to slope instability. The developed hazard map demonstrates that most of the Medan–Berastagi corridor is vulnerable to landslides, emphasizing the need for targeted disaster risk mitigation. These findings provide a scientific basis for regional planning and sustainable infrastructure management in mountainous terrains.

Media literacy skills in the exercise of digital citizenship of university students in Peru

Doris Fuster- Guillen — 2026-02-02

The objective of this study was to analyze the relationship between media literacy skills and the exercise of digital citizenship among Peruvian university students. The research was conducted using a quantitative approach, through an explanatory, cross-sectional design based on the positivist paradigm. The sample consisted of 444 students from 17 universities, selected through stratified probability sampling. Two validated questionnaires with high levels of reliability (α = 0.962 and α = 0.939) were used to collect data, ensuring the internal consistency of the instruments used. The results revealed that 66% of students have an intermediate level of media literacy, while 60% exercise their digital citizenship irresponsibly, evidencing a worrying disconnect between the use of technologies and the development of civic competencies. Through structural equation modeling, a positive, significant, and structural relationship (β = 0.724) was identified between the two variables, demonstrating that limitations in media skills negatively affect critical, ethical, and responsible participation in digital environments. This study is particularly relevant in the Peruvian educational context, where widespread access to the internet does not always translate into thoughtful and civic-minded use of digital media. In this sense, it is concluded that integrating media literacy into university curricula is essential, promoting critical thinking, digital responsibility, and the formation of active and conscious citizens in a society increasingly influenced by media and technology.

Integrating bibliometric insights and pedagogical intervention for enhanced mathematical learning in basic education: An Ecuadorian case study

Juvitsa Juliana Plaza-Santillan — 2026-02-02

This study integrates bibliometric analysis and pedagogical intervention to enhance mathematical learning among tenth-grade students at the 17 de Septiembre Educational Units in Milagro, Ecuador. The initial diagnosis revealed low performance in algebra, particularly in factorization and quadratic functions. In response, active methodologies such as Problem-Based Learning (PBL) and Game-Based Learning (GBL) were implemented, complemented by personalized tutoring and teacher training. The bibliometric review, based on 42 articles indexed in Scopus and Web of Science (2010–2025), identified global trends in mathematics education related to pedagogical innovation, inclusion, and teacher development. These insights informed the design of contextualized educational games and micro-workshops aligned with the local curriculum. Post-intervention results showed more than a 30% increase in academic performance, confirmed by paired t-tests indicating statistically significant improvements across all topics. Additionally, higher student motivation, reduced mathematics anxiety, and greater classroom participation were observed. The study demonstrates that integrating low-cost active learning strategies with global research evidence can substantially improve outcomes in vulnerable contexts. It also validates bibliometric analysis as a practical tool for aligning classroom practice with international scientific knowledge, offering a replicable model for strengthening equity, innovation, and quality in basic mathematics education systems worldwide and promoting sustainable teaching practices.

YOLOv8-based detection of protection emblems for humanitarian safety applications

Priya Sharma — 2026-02-02

The research paper provides a novel application of YOLOv8 for the detection of protection emblems in the International Federation of Red Cross and Red Crescent Societies (IFRC), aimed at enhancing humanitarian safety in conflict zones. The authors created a dataset of 36 images from various sources, with 25 used as training data, 4 as test data, and 7 as validation data. Custom annotation was performed through Roboflow, and YOLOv8 was employed for detection. The findings revealed a maximum F1 score of 0.9 at a confidence threshold of 0.85. The confusion matrix indicated a detection rate of 0.91 on real positive cases, particularly in the successful recognition of the class of significance, which is IFRC_Symbols. This research implemented object detection in a sensitive humanitarian context, connecting artificial intelligence (AI) with humanitarian operations, thereby helping to reduce the risk of misidentification of symbols during relief operations. In the preliminary stage, the authors used a small dataset, creating opportunities for future researchers to expand the dataset and implement the model in real-time scenarios, including other environmental factors. The decision to enhance emblem detection facilities aligns with the mission of the IFRC to assist people in need safely and efficiently without jeopardizing the efforts of its diligent employees.

Bitcoin and portfolio diversification during crises: Evidence from the French market with mean–variance and stochastic dominance analysis

Nadia Belkhir — 2026-02-02

This study explores the diversification potential of Bitcoin in a French investment portfolio comprising oil, currency, and gold across three distinct market regimes: a pre-crisis stable period, the COVID-19 pandemic, and the Russia–Ukraine conflict. The purpose is to assess whether Bitcoin can enhance portfolio efficiency and provide hedging opportunities under varying market conditions. The analysis is conducted using daily data for Bitcoin, gold, oil, currency, and the CAC40 index from January 1, 2019, to April 22, 2022. Portfolio performance is evaluated through the Mean–Variance (MV) framework and Stochastic Dominance (SD) analysis, allowing for a robust comparison of risk–return trade-offs and investor preferences. The MV results show that including Bitcoin consistently improves the portfolio’s risk–return profile, evidenced by an upward shift in the efficient frontier across all sub-periods. However, the SD analysis yields more nuanced insights. Before and during the COVID-19 crisis, the portfolio excluding Bitcoin dominates the Bitcoin-inclusive portfolio under second- and third-order stochastic dominance criteria, suggesting that risk-averse investors would prefer the traditional asset mix. In contrast, during the Russia–Ukraine war, no clear stochastic dominance is detected between Bitcoin-inclusive and Bitcoin-exclusive portfolios. These findings emphasize that Bitcoin’s diversification role is highly context- and framework-dependent.

Digitalisation and AI adoption as drivers of market share in GCC banking

Yousuf Albaker — 2026-02-03

This study investigates the impact of digitalization and AI adoption on the market share of banks operating in the Gulf Cooperation Council's (GCC) region, drawing upon the resource-based view (RBV) and dynamic capabilities theory (DCT). In the current context of digital transformation and AI-driven innovation reshaping the banking sector, it is crucial to understand the role of these technologies in driving competitive advantage. The study constructs novel composite indices for digitalization and AI adoption using secondary data from 400 bank-year observations across five GCC countries between 2015-2024. Employing a dynamic panel estimation technique, the analysis reveals that both digitalization and AI adoption significantly and positively influence bank market share, even after controlling for profitability, bank size, and macroeconomic conditions. These results hold strong across different models, supporting the idea that improving and adapting technological skills is key to enhancing the market share of banks. The study offers theoretical contributions by operationalizing digital and AI capabilities as strategic resources and practical implications for bank executives and policymakers aiming to strengthen digitalization in the financial sector. It also provides one of the first empirical validations of the digitalization–market share nexus in the GCC context, thereby filling an important gap in the literature on technology-enabled market performance.

Internationalization vs. inequality: A bibliometric analysis of global gaps in higher education

Viviana Carolina Gaibor-Hinostroza — 2026-02-03

This study integrates a systematic literature review (SLR) with bibliometric analysis to examine global disparities in the internationalization of higher education from 2000 to 2025. Following PRISMA 2020 guidelines, 58 empirical studies were selected from Scopus and Web of Science. The research identifies thematic and methodological patterns, maps key regions and actors, and reveals tensions and inequalities embedded in internationalization processes. Results show a marked concentration of publications in the Global North, particularly in the United States, the United Kingdom, Germany, China, and Japan, reinforcing structural imbalances in knowledge production. English-language journals dominate scholarly dissemination, limiting visibility for research from Latin America, Africa, and Central Asia. Thematic clusters include academic mobility, educational diplomacy, institutional branding, and epistemic justice, with recent studies incorporating critical perspectives on race, gender, and power. Despite emerging inclusive narratives, persistent barriers remain, such as linguistic hierarchies, dependence on global rankings, and limited South–South collaboration. The findings indicate that internationalization is not a neutral or universally beneficial process but is shaped by power dynamics favoring specific institutions and regions. This study contributes by advocating for more equitable approaches and emphasizing epistemic justice, multilingualism, and horizontal collaboration as essential for democratizing higher education.